期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：MULTICON
页码：506
出版社：S&S Publications
摘要：Structural Health Monitoring (SHM) provides a way to evaluate the safety and durability of a structureduring its service life, to ensure its serviceability and sustainability. Structural Health Monitoring systems aredeveloped and installed in several long span bridges, to monitor the health condition of the bridges. In structural healthmonitoring of the cable supported bridges, estimation procedure for the cable tension influences the accuracy ofmonitoring system. As cables are crucial element for the overall structural safety of cable supported bridges theaccurate estimation of tension force plays an important role in the construction and the maintenance stages of thebridges.Incorporating smart sensors with vibration-based tension force estimation methodologies, proves to be anefficient means of autonomous long-term monitoring of cable tensions.The accelerations from the cable vibrations haveembedded frequencies which can be extracted using Fast Fourier Transform and processed using computer aidedsoftware. After the accelerations are processed and the frequencies are extracted and organized, the cable tension can becalculated using dynamic cable theory and cable properties.Numerical studies were carried out on a cable with known tensile force using ABAQUS, to determine the naturalfrequencies. A series of laboratory tests were conducted on a prestressed steel cable with initial cable sag and appliedtension forces. The accelerometer and the strain gauges are bonded on the surface of the cable, to determine theacceleration and strain data. The frequency of the cable are extracted from the acceleration data using Fast FourierTransforms. The various vibration based methods were used to assess the cable force from the extracted frequency. AMATLAB script was developed to automate the estimation of tension force.
关键词：Structural Health Monitoring; Cable tension; Frequency; FFT; Accelerometer; MATLAB
